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Open-source Copilot — VS Code & JetBrains, any model.
OPEN SOURCECPU-CAPABLE
DATASHEET // TABBY-ML
Tabby
Self-hosted, GPU-accelerated coding autocompletion.
FREEMIUM · $19/MO4–8 GB VRAMSelf-hosted server
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPI
Visit TabbyUPDATED 2026-05-09 · DIRECT LINK
HARDWARE REQUIREMENTS //
Self-hosted server · Entry GPU (6–8 GB)
Min VRAM
4 GB
Rec. VRAM
8 GB
Min RAM
8 GB
Rec. RAM
16 GB
Disk
15 GB
GPU class
Entry GPU
Apple Silicon ✓CPU-CapableQuant: GGUF, Q4_K_M
1.5-7B coder models comfortable on 4-8 GB.
[ EDITORIAL PICK ]
Why we recommend Tabby
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Tabby the company changes direction.
- Runs on 4 GB
Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.
- Apple Silicon
Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.
- 2 quant formats
Supports GGUF, Q4_K_M — you can dial VRAM use up or down to match your card.
[ EVIDENCE NOTE ]
Documentation-led datasheet
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyEasy
Runs CPU-only — no CUDA / driver gymnastics required.
- Hardware comfortEntry-level
Fits on 4 GB cards — GTX 1660 / RTX 3050 territory.
- EcosystemStrong devkit
Open-source AND ships an API — easy to integrate, possible to host yourself.
- VerificationRecent
Catalogue entry last updated 68 days ago — re-verification due soon.
[ COMMUNITY GUIDES & WORKFLOWS ]
Tutorials & deep-dives for Tabby
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
[ MORE IN THIS NICHE ]
Other local llm runners tools we rate
Three picks across different tradeoffs — so you don't end up with three near-clones of Tabby.
What is Tabby?
Tabby is the self-hosted answer to GitHub Copilot. Runs a local server with any code-tuned model (StarCoder, DeepSeek-Coder, Qwen-Coder); editor plugins for VS Code, JetBrains, Vim, Neovim talk to it over HTTP. Apache 2.0; enterprise team features available.
Pros & cons
✓ PROS
- Self-hosted Copilot — no code leaves your network
- Pluggable models — pick your size/quality trade-off
- Multi-editor plugins maintained by the project
– CONS
- Quality bound to model — DeepSeek-Coder-V2 is the current sweet spot
- Heavier setup than Continue + Ollama
What's actually free?
Apache 2.0 community edition; team features paid.
✓ Actually FreeNo SignupOpen SourceWatermark-Free
Alternatives
Ollama
One-command local LLM runtime.
OPEN SOURCECPU-CAPABLE